If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various multi-threaded and multi-node strategies. There's a lack of good learning and reference material available if you want to learn Python for highly computational tasks. Because of it, fields from physics to biology and systems infrastructure to data science are hitting barriers. They need the fast prototyping nature of Python, but too few people know how to wield it. This book will put you ahead of the curve.
If you're an experienced Python programmer, High Performance Python will guide you through the various routes of code optimization. You'll learn how to use smarter algorithms and leverage peripheral technologies, such as numpy, cython, cpython, and various ...
评分例子给的很多,讲到高性能就会提到性能监控,这本书里面有 cpu mem 方法的度量,网络这块讲了一点异步,net profiler 这块没讲。 感觉就是个简单的笔记集合,作者把可能把工作中遇到的性能问题,记录了解决方案。 行文不太顺畅,配套的代码需要安装的库都没列出来,使用的相应...
评分 评分 评分基于实践的性能优化。
评分vector instruction set # cache miss / memory locality # profile # compile # python 3.3 才变长 unicode 表示省内存,才知身在福中啊
评分还算不错吧 实践性还蛮强的 学会使用分析工具了√
评分值得一看,python的性能本来就不高。但是还是要注意,能避免的劣化还是要避免。
评分#心灵鸡汤# 看一个男人的品味要看他的鞋子;看一个人的Python功底,要看他在项目中对类型验证的把控!
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